Book Image

Hands-On Edge Analytics with Azure IoT

By : Colin Dow
Book Image

Hands-On Edge Analytics with Azure IoT

By: Colin Dow

Overview of this book

Edge analytics has gained attention as the IoT model for connected devices rises in popularity. This guide will give you insights into edge analytics as a data analysis model, and help you understand why it’s gaining momentum. You'll begin with the key concepts and components used in an edge analytics app. Moving ahead, you'll delve into communication protocols to understand how sensors send their data to computers or microcontrollers. Next, the book will demonstrate how to design modern edge analytics apps that take advantage of the processing power of modern single-board computers and microcontrollers. Later, you'll explore Microsoft Azure IoT Edge, MicroPython, and the OpenCV visual recognition library. As you progress, you'll cover techniques for processing AI functionalities from the server side to the sensory side of IoT. You'll even get hands-on with designing a smart doorbell system using the technologies you’ve learned. To remove vulnerabilities in the overall edge analytics architecture, you'll discover ways to overcome security and privacy challenges. Finally, you'll use tools to audit and perform real-time monitoring of incoming data and generate alerts for the infrastructure. By the end of this book, you'll have learned how to use edge analytics programming techniques and be able to implement automated analytical computations.
Table of Contents (15 chapters)
1
Section 1: Getting Started with Edge Analytics
5
Section 2: Understanding Edge Analytics Technologies
11
Section 3: The Road Ahead

Summary

A lot was covered in this chapter. We started by introducing MicroPython. We compared development with MicroPython to that with Arduino. We also took a look at some of the various microcontrollers that MicroPython is run on.

Our project involved using two separate microcontrollers communicating with each other via the LoRa communication protocol. The project demonstrated a simple edge analytics approach to control the temperature with a heater. The LoRa component of our project emphasized the power of edge analytics in situations where a strong or non-existent Wi-Fi signal exists. The main takeaway from this chapter is how an edge analytics approach may be used to solve a simple problem.

In our next chapter, we will introduce and explore machine learning with edge analytics.